add unet ldm in init

src/diffusers/__init__.py

@@ -7,5 +7,6 @@ __version__ = "0.0.1"
 from .modeling_utils import ModelMixin
 from .models.unet import UNetModel
 from .models.unet_glide import UNetGLIDEModel
+from .models.unet_ldm import UNetLDMModel
 from .pipeline_utils import DiffusionPipeline
 from .schedulers.gaussian_ddpm import GaussianDDPMScheduler

src/diffusers/models/__init__.py

@@ -18,3 +18,4 @@
 
 from .unet import UNetModel
 from .unet_glide import UNetGLIDEModel
+from .unet_ldm import UNetLDMModel

src/diffusers/models/unet_ldm.py

@@ -830,7 +830,7 @@ class UNetLDMModel(ModelMixin, ConfigMixin):
         self.conv_resample = conv_resample
         self.num_classes = num_classes
         self.use_checkpoint = use_checkpoint
-        self.dtype = torch.float16 if use_fp16 else torch.float32
+        self.dtype_ = torch.float16 if use_fp16 else torch.float32
         self.num_heads = num_heads
         self.num_head_channels = num_head_channels
         self.num_heads_upsample = num_heads_upsample
@@ -1060,7 +1060,7 @@ class UNetLDMModel(ModelMixin, ConfigMixin):
             assert y.shape == (x.shape[0],)
             emb = emb + self.label_emb(y)
 
-        h = x.type(self.dtype)
+        h = x.type(self.dtype_)
         for module in self.input_blocks:
             h = module(h, emb, context)
             hs.append(h)